Abstract
The sensitivity of reconstructed slices to changes in low-pass filter design, impact of changes in source distributions and count levels on filter design, and an alternative to subtraction of the scatter estimate from photopeak window images, were investigated. The normalized mean square error (NMSE) between the estimated and true slices as criterion, showed that low pass filtering of triple energy windows (TEW) scatter estimate decreased the NMSE. Cutoff frequency of Butterworth filter depended on the number of counts in TEW windows and source distributions. The Wiener low pass filter adapted to produce a low NMSE. Inclusion of the scatter estimate into ordered subset maximum likelihood reconstruction resulted in a low NMSE.
Original language | English (US) |
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Pages | 1077-1081 |
Number of pages | 5 |
State | Published - 1996 |
Externally published | Yes |
Event | Proceedings of the 1996 IEEE Nuclear Science Symposium. Part 1 (of 3) - Anaheim, CA, USA Duration: Nov 2 1996 → Nov 9 1996 |
Other
Other | Proceedings of the 1996 IEEE Nuclear Science Symposium. Part 1 (of 3) |
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City | Anaheim, CA, USA |
Period | 11/2/96 → 11/9/96 |
ASJC Scopus subject areas
- Radiation
- Nuclear and High Energy Physics
- Radiology Nuclear Medicine and imaging